sanyuan0704/sanyuan-skillsPublic

Expert code review skill: SOLID, security, performance, error handling, boundary conditions

AI summary: A production-grade code review skill for Claude Code focusing heavily on SOLID principles and security.

Stars
3.9K
Forks
344
Watchers
18
Open issues
5
Open PRs
3
Contributors
~4
Commits
14
Branches
2

PythonMITCreated Feb 4, 2026Last push 4mo ago+6 stars this week+38 this month

Quick answers

What is sanyuan-skills?
A production-grade code review skill for Claude Code focusing heavily on SOLID principles and security.
What does sanyuan-skills do?
The Code Review Expert is a highly specialized, production-ready skill designed to be injected into AI agent terminals like Claude Code. It effectively acts as a rigorous senior software engineer, scrutinizing uncommitted git changes for structural integrity, boundary conditions, and security vulnerabilities. It strictly evaluates the code against established SOLID principles and architectural best practices, actively identifying inefficient algorithms and poor error handling. By providing expert-level, automated feedback directly in the terminal, it aims to significantly reduce technical debt before code is ever pushed to the repository.
Who is sanyuan-skills for?
Software engineers, tech leads, and developers who heavily utilize AI agent terminals and demand high-quality, secure code output. It requires Node.js and a compatible CLI agent tool to function.
How do I get started with sanyuan-skills?
npx skills add sanyuan0704/sanyuan-skills --path skills/code-review-expert
How popular is sanyuan-skills on GitHub?
sanyuan0704/sanyuan-skills has 3,931 stars and 344 forks on GitHub, and gained 6 stars in the last 7 days.
What license does sanyuan-skills use?
sanyuan0704/sanyuan-skills is released under the MIT license.

Star history

since Jul 29, 2026
01K2K3KJul 2026Aug 2026Sep 2026Oct 2026
3.9K stars as of Oct 3, 2026. Measured daily since Jul 29, 2026; GitHub no longer exposes earlier star timestamps.

Update history

1 recorded
  • Oct 4, 2026Previously tracked as sanyuan0704/code-review-expert; its 1 daily snapshot and 2 trending appearances were merged into this profile. Stars: 3,790 on 2026-07-29 under the old name, 3,931 on 2026-10-03 (+141).

Contribution activity

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11 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Permissive license

    MIT

  • Continuous integration

    Automated checks passing

What sanyuan-skills does

The Code Review Expert is a highly specialized, production-ready skill designed to be injected into AI agent terminals like Claude Code. It effectively acts as a rigorous senior software engineer, scrutinizing uncommitted git changes for structural integrity, boundary conditions, and security vulnerabilities. It strictly evaluates the code against established SOLID principles and architectural best practices, actively identifying inefficient algorithms and poor error handling. By providing expert-level, automated feedback directly in the terminal, it aims to significantly reduce technical debt before code is ever pushed to the repository.

Software engineers, tech leads, and developers who heavily utilize AI agent terminals and demand high-quality, secure code output. It requires Node.js and a compatible CLI agent tool to function.

  • SOLID enforcement: Rigorously analyzes code architecture to ensure strict adherence to foundational object-oriented design principles.
  • Security auditing: Actively scans uncommitted changes for common injection vulnerabilities and improperly handled boundary conditions.
  • Performance evaluation: Identifies highly inefficient algorithms and potential execution bottlenecks within the newly written code.
  • Error handling checks: Verifies that comprehensive error catching and graceful failure mechanisms are properly implemented.
  • Terminal integration: Installs seamlessly via npx directly into Claude Code and other compatible AI CLI environments.

Where teams use it

Pre-commit auditing

Developers running the skill to perform a rigorous, senior-level architectural review on their local changes right before committing.

Vulnerability screening

Security-conscious engineers using the tool as a first line of defense to catch unhandled boundary cases in new features.

Architectural validation

Tech leads ensuring that newly drafted modules strictly align with the project's established SOLID design patterns.

Developer mentoring

Junior developers learning industry best practices by receiving detailed, highly actionable AI feedback on their pull requests.

Getting started: npx skills add sanyuan0704/sanyuan-skills --path skills/code-review-expert

README

main branch

sanyuan-skills

A collection of production-grade agent skills for Claude Code and other AI agent terminals.

6 Skills MIT License

Skills

Skill Description Install
Code Review Expert Senior engineer code review covering SOLID, security, performance, error handling npx skills add sanyuan0704/sanyuan-skills --path skills/code-review-expert
Sigma 1-on-1 AI tutor based on Bloom's 2-Sigma mastery learning with Socratic questioning npx skills add sanyuan0704/sanyuan-skills --path skills/sigma
Skill Review Quality audit for skills: structure, description, workflow, token efficiency, anti-patterns npx skills add sanyuan0704/sanyuan-skills --path skills/skill-review
Skill Forge Meta-skill for creating high-quality skills with 12 battle-tested techniques npx skills add sanyuan0704/sanyuan-skills --path skills/skill-forge
Wiki Ingest Compile articles, documents, or notes into a structured, cross-referenced wiki knowledge base npx skills add sanyuan0704/sanyuan-skills --path skills/wiki-ingest
Book Study Reading coach with knowledge compilation, Socratic mastery testing, spaced repetition, and cross-book querying npx skills add sanyuan0704/sanyuan-skills --path skills/book-study

Quick Start

Install any skill with:

npx skills add sanyuan0704/sanyuan-skills --path skills/<skill-name>

Then invoke in your agent terminal:

/code-review-expert    # Review current git changes
/sigma <topic>         # Start a tutoring session
/skill-review          # Audit an existing skill's quality
/skill-forge           # Create a new skill
/wiki-ingest           # Compile content into a wiki knowledge base
/book-study <book>     # Start a guided reading session

License

MIT

View on GitHub

Recent activity

commits and pull requests

Code frequency

additions and deletions
+3.4K-3.4KWeek of 2026-02-01: +607 linesWeek of 2026-02-01: -6 linesWeek of 2026-02-08: +3 linesWeek of 2026-02-08: -2 linesWeek of 2026-02-15: +6 linesWeek of 2026-02-15: -0 linesWeek of 2026-02-22: +0 linesWeek of 2026-02-22: -0 linesWeek of 2026-03-01: +3,390 linesWeek of 2026-03-01: -658 linesWeek of 2026-03-08: +0 linesWeek of 2026-03-08: -0 linesWeek of 2026-03-15: +0 linesWeek of 2026-03-15: -0 linesWeek of 2026-03-22: +0 linesWeek of 2026-03-22: -0 linesWeek of 2026-03-29: +0 linesWeek of 2026-03-29: -0 linesWeek of 2026-04-05: +0 linesWeek of 2026-04-05: -0 linesWeek of 2026-04-12: +924 linesWeek of 2026-04-12: -1 linesWeek of 2026-04-19: +0 linesWeek of 2026-04-19: -0 linesWeek of 2026-04-26: +0 linesWeek of 2026-04-26: -0 linesWeek of 2026-05-03: +0 linesWeek of 2026-05-03: -0 linesWeek of 2026-05-10: +222 linesWeek of 2026-05-10: -1 linesWeek of 2026-05-17: +0 linesWeek of 2026-05-17: -0 linesWeek of 2026-05-24: +0 linesWeek of 2026-05-24: -0 linesWeek of 2026-05-31: +0 linesWeek of 2026-05-31: -0 linesWeek of 2026-06-07: +0 linesWeek of 2026-06-07: -0 linesWeek of 2026-06-14: +0 linesWeek of 2026-06-14: -0 linesWeek of 2026-06-21: +0 linesWeek of 2026-06-21: -0 linesWeek of 2026-06-28: +0 linesWeek of 2026-06-28: -0 linesWeek of 2026-07-05: +0 linesWeek of 2026-07-05: -0 linesWeek of 2026-07-12: +0 linesWeek of 2026-07-12: -0 linesWeek of 2026-07-19: +0 linesWeek of 2026-07-19: -0 linesWeek of 2026-07-26: +0 linesWeek of 2026-07-26: -0 linesWeek of 2026-08-02: +0 linesWeek of 2026-08-02: -0 linesWeek of 2026-08-09: +0 linesWeek of 2026-08-09: -0 linesFeb 1, 2026Aug 9, 2026
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Commits per week

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11 commits in the last 52 weeks.

When work happens

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits9 (64%)
Community commits5 (36%)

14 commits in total over the last year.

DateListRankStars gained
Feb 11, 2026daily#18+218
Feb 10, 2026daily#22+143